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From "Santosh Kumar (JIRA)" <>
Subject [jira] [Commented] (SINGA-147) Run SINGA applications on mobile devices
Date Thu, 10 Mar 2016 19:06:41 GMT


Santosh Kumar commented on SINGA-147:

project name was "CryptoMsg"

As part of B.Tech. Summer Project (4th Semester), I applied Techniques of Encoding and Decoding
Base64,utf8,utf16  to encrypt  and decrypt text and images. This application can be used for
sending secret Massages and Images through whatsapp,gmail or any messenger.

idea was that in digital world nothing is 100% secure. we just increase the levels of security
So, many applocker apps available in market which can be used to lock your messengers apps
but my idea was why should i show that i want to hide my chat images,texts. instead of this
i send texts and images in a form which can't be understand by anyone easily.only those person
can understand who know decryption of that messages.

it was my first project.but now i want to explore my knowledge in field of natural language
processing. like your SINGA application will help me.

> Run SINGA applications on mobile devices
> ----------------------------------------
>                 Key: SINGA-147
>                 URL:
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>              Labels: gsoc, gsoc2016, mentor
> Mobile devices (e.g., mobile phones) are good platforms for running deep learning applications,
e.g., object or speech recognition, since they can record video and audio, and take pictures.
> A simple implementation for such applications would send the content (e.g., video or
images) back to central servers, which requires internet connection and consumes mobile data.
Considering that the recognition task is cheap (cheaper than training tasks), we can implement
mobile apps to do the recognition tasks on the mobile devices. In this way, we can run the
applications off-line, which is very convenient for users.
> This JIRA issue is going to re-implement some SINGA functions on mobile app development
platforms to create a mobile app (android/ios) for object/speech recognition.

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